The Society for Immunotherapy of Cancer Perspective on Tissue-Based Technologies for Immuno-Oncology Biomarker Discovery and Application

IF 10 1区 医学 Q1 ONCOLOGY
Anne Monette, Adriana Aguilar-Mahecha, Emre Altinmakas, Mathew G. Angelos, Nima Assad, Gerald Batist, Praveen K. Bommareddy, Diana L. Bonilla, Christoph H. Borchers, Sarah E. Church, Gennaro Ciliberto, Alexandria P. Cogdill, Luigi Fattore, Nir Hacohen, Mohammad Haris, Vincent Lacasse, Wen-Rong Lie, Arnav Mehta, Marco Ruella, Houssein Abdul. Sater, Alan Spatz, Bachir Taouli, Imad Tarhoni, Edgar Gonzalez-Kozlova, Itay Tirosh, Xiaodong Wang, Sacha Gnjatic
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引用次数: 0

Abstract

With immuno-oncology becoming the standard of care for a variety of cancers, identifying biomarkers that reliably classify patient response, resistance, or toxicity becomes the next critical barrier towards improving care. Multi-parametric, multi-omics, and computational platforms generating an unprecedented depth of data are poised to usher in the discovery of increasingly robust biomarkers for enhanced patient selection and personalized treatment approaches. Deciding which developing technologies to implement in clinical settings ultimately, applied either alone or in combination, relies on weighing pros and cons, from minimizing patient sampling to maximizing data outputs, and assessing reproducibility and representativeness of findings, while lessening data fragmentation towards harmonization. These factors are all assessed while taking into consideration the shortest turnaround time. The Society for Immunotherapy of Cancer (SITC) Biomarkers Committee convened to identify important advances in biomarker technologies and to address advances in biomarker discovery using multiplexed immunohistochemistry and immunofluorescence, their coupling to single cell transcriptomics, along with mass spectrometry-based quantitative and spatially resolved proteomics imaging technologies. We summarize key metrics obtained, ease of interpretation, limitations and dependencies, technical improvements, and outward comparisons of these technologies. By highlighting the most interesting recent data contributed by these technologies, and by providing ways to improve their outputs, we hope to guide correlative research directions and assist in their evolution towards becoming clinically useful in IO.
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来源期刊
Clinical Cancer Research
Clinical Cancer Research 医学-肿瘤学
CiteScore
20.10
自引率
1.70%
发文量
1207
审稿时长
2.1 months
期刊介绍: Clinical Cancer Research is a journal focusing on groundbreaking research in cancer, specifically in the areas where the laboratory and the clinic intersect. Our primary interest lies in clinical trials that investigate novel treatments, accompanied by research on pharmacology, molecular alterations, and biomarkers that can predict response or resistance to these treatments. Furthermore, we prioritize laboratory and animal studies that explore new drugs and targeted agents with the potential to advance to clinical trials. We also encourage research on targetable mechanisms of cancer development, progression, and metastasis.
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